How To Fix SMMSS_ALERTS061 - This alert tracks the maximum runtime of a SQL statement

SMMSS_ALERTS061 - Overview

• Message type: E = Error

• Message class: SMMSS_ALERTS - Message class for MSSQL rz20 messages

• Message number: 061

• Message text: This alert tracks the maximum runtime of a SQL statement

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message SMMSS_ALERTS061 - This alert tracks the maximum runtime of a SQL statement ?

  The SAP error message SMMSS_ALERTS061 indicates that a SQL statement has exceeded its maximum allowed runtime. This alert is part of the SAP system's monitoring and performance management features, specifically related to database operations.
  
  Cause:
  The primary cause of this alert is that a SQL statement is taking longer to execute than the predefined threshold set in the system. This can happen due to various reasons, including:
  
  Inefficient SQL Queries: The SQL statement may not be optimized, leading to longer execution times.
  Database Locking: Other transactions may be locking the resources needed by the SQL statement, causing delays.
  Large Data Volumes: The query may be processing a large amount of data, which can increase execution time.
  Resource Contention: High load on the database server or insufficient resources (CPU, memory, I/O) can slow down query execution.
  Missing Indexes: If the necessary indexes are not present, the database may have to perform full table scans, which are slower.
  
  
  Solution:
  To address